Posted May 6, 2026
As a Sr. Data Analyst at our company, you will be a key member of the team, leveraging your expertise in machine learning, statistics, and business intelligence to provide impactful insights and recommendations to our clients. Your role will involve analyzing client data, developing AI/ML-driven solutions, and collaborating with cross-functional teams to achieve strategic business objectives. You will also be responsible for mentoring and facilitating skill development for analysts in the team, ensuring continuous improvement and growth within the organization. Key Responsibilities:
Analyze client data, extract meaningful insights, and develop ML-driven solutions to enhance decision-making. - Own end-to-end development of AI/ML models, from understanding client business problems to seamless integration into production pipelines. - Design and deliver intelligence products and solutions to diverse problem statements. - Collaborate with cross-functional teams to achieve strategic business objectives. - Engage in testing of new systems and take responsibility for data input QC, application of formula/algorithm, QC of outputs, and comments. - Participate in User Acceptance Testing for various data management systems. - Conduct training sessions on key developments in BI and ML. - Mentor and facilitate skill development for analysts in the team. - Perform market research, data mining, business intelligence, and provide project support. Qualifications Required:
Strong experience in building and deploying commercial-grade AI/ML models. - Statistical analysis of large complex datasets. - Proven track record of delivering machine learning models to production environments. - Ability to break down complex client business problems into Data Science problems. - Proficiency in SQL and Python/R for data handling. - Understanding of classical machine learning techniques and NLP. - Highly quantitative, analytical, and curious learner. - Excellent command of English. - Self-starter with a start-up mindset. - Effective communicator and team player. - 5-7 years of work experience in data science and analytics. Key Responsibilities:
Analyze client data, extract meaningful insights, and develop ML-driven solutions to enhance decision-making. - Own end-to-end development of AI/ML models, from understanding client business problems to seamless integration into production pipelines. - Design and deliver intelligence products and solutions to diverse problem statements. - Collaborate with cross-functional teams to achieve strategic business objectives. - Engage in testing of new systems and take responsibility for data input QC, application of formula/algorithm, QC of outputs, and comments. - Participate in User Acceptance Testing for various data management systems. - Conduct training sessions on key developments in BI and ML. - Mentor and facilitate skill development for analysts in the team. - Perform market research, data mining, business intelligence, and provide project support. Qualifications Required:
Strong experience in building and deploying commercial-grade AI/ML models. - Statistical analysis of large complex datasets. - Proven track record of delivering machine learning models to production environments. - Ability to break down complex client business problems into Data Science problems. - Proficiency in SQL and Python/R for data handling. - Understanding of classical machine learning techniques and NLP. - Highly quantitative, analytical, and curious learner. - Excellent command of English. - Self-starter with a start-up mindset. - Effective communicator and team player. - 5-7 years of work experience in data science and analytics.
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